Outline

  • Abstract
  • Keywords
  • Nomenclature
  • 1. Introduction
  • 2. Geological Setting
  • 3. Dataset
  • 4. Methodology
  • 4.1. Velocity-Deviation Log
  • 4.2. Feature Vector
  • 4.2.1. the Frame Flexibility Factor
  • 4.2.2. Velocity–porosity Relationship
  • 4.2.3. Impedance–porosity Relationship
  • 4.3. Parzen Classifier
  • 5. Results and Discussion
  • 5.1. Rock Physics Diagnostics Application to Sarvak Formation
  • 5.2. Pore Type Characterization Using Velocity-Deviation Log
  • 5.3. Classification Result
  • 6. Conclusion
  • Appendix A. the Velocity-Deviation Log (vdl)
  • References

رئوس مطالب

  • چکیده
  • 1. مقدمه
  • 2. محیط زمین شناسی
  • 3. مجموعه داده ها
  • 4. روش
  • 4.1 نمودار انحراف- سرعت
  • 4.2 بردار ویژگی
  • 4.2.1 عامل (ضریب) خمش پذیری قاب
  • 4.2.2 رابطه سرعت- تخلخل
  • 4.2.3 رابطه تخلخل- امپدانس
  • 4.3 دسته بندی کننده پارزن
  • 5. بحث و نتایج
  • 5.1 کاربرد تشخیص فیزیک سنگ در سازند سروک
  • 5.2 توصیف مشخصات نوع منفذ با استفاده از نمودار انحراف- سرعت
  • 5.3 نتیجه طبقه بندی
  • 6. نتیجه گیری
  • پیوست الف. نمودار انحراف- سرعت (VDL)
  • فهرست واژه ها

Abstract

Seismic velocity variation in carbonate rocks is a complicated function of different parameters such as mineral composition, porosity, pore type, saturation, and pore pressure. Among all, pore type is the main factor that affects reservoir permeability heterogeneity and change the velocity–porosity relationship. In this paper, a rock physics-based algorithm is presented to quantitatively identify three dominant pore types in a carbonate reservoir. The proposed algorithm is applied on data related to three wells drilled in a carbonate reservoir, southwest of Iran. We used the frame flexibility factor (γ), P-wave velocity–porosity and S-wave impedance–porosity trends as inputs of Parzen classifier to identify predominate pore type characterized by velocity-deviation log (VDL) in each depth. The results show that the proposed algorithm has high precision in classifying identified pore types with average accuracy of 76.7% throughout studied oil field.

Keywords: - - - -

Conclusions

Heterogeneity of carbonate rocks is a complicated function of several parameters such as mineral composition, pore fluid, and pore structure, due to some post-diagenesis process. Variation in pore type as the most important parameter cause complexity in the elastic behavior of carbonate rocks that result in ambiguous seismic responses of the reservoir.

In this paper, we proposed a new algorithm to evaluate and identify three desired pore types (i.e. interparticle, moldic/vuggy, and fracture) in a carbonate reservoir based on rock physics modeling. The algorithm was applied to a dataset related to three wells of an oil field located in southwest of Iran. The results obtained from applying the algorithm can be listed as follows:

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